Overview

Dataset statistics

Number of variables19
Number of observations108
Missing cells45
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory160.0 B

Variable types

Numeric19

Alerts

Alemania is highly overall correlated with Austria and 15 other fieldsHigh correlation
Austria is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Bélgica is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Dinamarca is highly overall correlated with Alemania and 16 other fieldsHigh correlation
España is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Estados Unidos is highly overall correlated with Alemania and 10 other fieldsHigh correlation
Finlandia is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Francia is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Irlanda is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Italia is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Noruega is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Otros is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Países Bajos is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Polonia is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Portugal is highly overall correlated with Austria and 12 other fieldsHigh correlation
Reino Unido is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Suecia is highly overall correlated with Alemania and 15 other fieldsHigh correlation
Total is highly overall correlated with Alemania and 16 other fieldsHigh correlation
Austria has 2 (1.9%) missing valuesMissing
Estados Unidos has 35 (32.4%) missing valuesMissing
Irlanda has 2 (1.9%) missing valuesMissing
Noruega has 2 (1.9%) missing valuesMissing
Alemania has unique valuesUnique
España has unique valuesUnique
Finlandia has unique valuesUnique
Portugal has unique valuesUnique
Reino Unido has unique valuesUnique
Suecia has unique valuesUnique
Otros has unique valuesUnique
Total has unique valuesUnique

Reproduction

Analysis started2024-02-11 16:26:18.663046
Analysis finished2024-02-11 16:27:58.415214
Duration1 minute and 39.75 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Mes
Real number (ℝ)

Distinct12
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:27:58.615316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6.5
Q39.25
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4681461
Coefficient of variation (CV)0.53356094
Kurtosis-1.2173713
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum702
Variance12.028037
MonotonicityNot monotonic
2024-02-11T17:27:58.942130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 9
8.3%
2 9
8.3%
3 9
8.3%
4 9
8.3%
5 9
8.3%
6 9
8.3%
7 9
8.3%
8 9
8.3%
9 9
8.3%
10 9
8.3%
Other values (2) 18
16.7%
ValueCountFrequency (%)
1 9
8.3%
2 9
8.3%
3 9
8.3%
4 9
8.3%
5 9
8.3%
6 9
8.3%
7 9
8.3%
8 9
8.3%
9 9
8.3%
10 9
8.3%
ValueCountFrequency (%)
12 9
8.3%
11 9
8.3%
10 9
8.3%
9 9
8.3%
8 9
8.3%
7 9
8.3%
6 9
8.3%
5 9
8.3%
4 9
8.3%
3 9
8.3%

Alemania
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53063.315
Minimum26
Maximum95772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:27:59.321746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile5575.8
Q134632.25
median53187.5
Q376279.25
95-th percentile89990.15
Maximum95772
Range95746
Interquartile range (IQR)41647

Descriptive statistics

Standard deviation26018.542
Coefficient of variation (CV)0.49033013
Kurtosis-0.90649937
Mean53063.315
Median Absolute Deviation (MAD)20725.5
Skewness-0.26881322
Sum5730838
Variance6.7696452 × 108
MonotonicityNot monotonic
2024-02-11T17:27:59.694159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26064 1
 
0.9%
10875 1
 
0.9%
43511 1
 
0.9%
48421 1
 
0.9%
31998 1
 
0.9%
17910 1
 
0.9%
8897 1
 
0.9%
8487 1
 
0.9%
3075 1
 
0.9%
4656 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
26 1
0.9%
74 1
0.9%
2300 1
0.9%
3075 1
0.9%
4284 1
0.9%
4656 1
0.9%
7284 1
0.9%
8487 1
0.9%
8897 1
0.9%
9321 1
0.9%
ValueCountFrequency (%)
95772 1
0.9%
94668 1
0.9%
94491 1
0.9%
93037 1
0.9%
91907 1
0.9%
90666 1
0.9%
88735 1
0.9%
88607 1
0.9%
88024 1
0.9%
85908 1
0.9%

Austria
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct106
Distinct (%)100.0%
Missing2
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean5520.0943
Minimum5
Maximum14148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:00.054656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile627.25
Q12544.5
median5241
Q37630
95-th percentile12530.75
Maximum14148
Range14143
Interquartile range (IQR)5085.5

Descriptive statistics

Standard deviation3566.7973
Coefficient of variation (CV)0.64614789
Kurtosis-0.29667103
Mean5520.0943
Median Absolute Deviation (MAD)2480.5
Skewness0.56401433
Sum585130
Variance12722043
MonotonicityNot monotonic
2024-02-11T17:28:00.429912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1157 1
 
0.9%
755 1
 
0.9%
7210 1
 
0.9%
6911 1
 
0.9%
2841 1
 
0.9%
1822 1
 
0.9%
638 1
 
0.9%
309 1
 
0.9%
13 1
 
0.9%
320 1
 
0.9%
Other values (96) 96
88.9%
(Missing) 2
 
1.9%
ValueCountFrequency (%)
5 1
0.9%
13 1
0.9%
250 1
0.9%
309 1
0.9%
320 1
0.9%
624 1
0.9%
637 1
0.9%
638 1
0.9%
755 1
0.9%
1150 1
0.9%
ValueCountFrequency (%)
14148 1
0.9%
13528 1
0.9%
13436 1
0.9%
13212 1
0.9%
12561 1
0.9%
12556 1
0.9%
12455 1
0.9%
12195 1
0.9%
12041 1
0.9%
11933 1
0.9%

Bélgica
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27996.417
Minimum2
Maximum46635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:00.812653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3881.85
Q121897.5
median29648.5
Q337749.75
95-th percentile42431.4
Maximum46635
Range46633
Interquartile range (IQR)15852.25

Descriptive statistics

Standard deviation11531.121
Coefficient of variation (CV)0.41187846
Kurtosis-0.099458316
Mean27996.417
Median Absolute Deviation (MAD)8103
Skewness-0.71061023
Sum3023613
Variance1.3296675 × 108
MonotonicityNot monotonic
2024-02-11T17:28:01.169733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
1.9%
15595 1
 
0.9%
6870 1
 
0.9%
31658 1
 
0.9%
36443 1
 
0.9%
19462 1
 
0.9%
15659 1
 
0.9%
7121 1
 
0.9%
3682 1
 
0.9%
1672 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
2 2
1.9%
1337 1
0.9%
1672 1
0.9%
2534 1
0.9%
3682 1
0.9%
4253 1
0.9%
4381 1
0.9%
6870 1
0.9%
7121 1
0.9%
7214 1
0.9%
ValueCountFrequency (%)
46635 1
0.9%
44896 1
0.9%
44391 1
0.9%
44359 1
0.9%
44159 1
0.9%
42717 1
0.9%
41901 1
0.9%
41889 1
0.9%
41200 1
0.9%
41081 1
0.9%

Dinamarca
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean25451.318
Minimum1
Maximum51664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:01.553240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3435.8
Q119200
median24760
Q335177
95-th percentile42165.2
Maximum51664
Range51663
Interquartile range (IQR)15977

Descriptive statistics

Standard deviation11773.496
Coefficient of variation (CV)0.46258886
Kurtosis-0.44498781
Mean25451.318
Median Absolute Deviation (MAD)8824
Skewness-0.26627069
Sum2723291
Variance1.3861521 × 108
MonotonicityNot monotonic
2024-02-11T17:28:01.972585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13318 1
 
0.9%
4839 1
 
0.9%
23484 1
 
0.9%
35672 1
 
0.9%
13651 1
 
0.9%
7088 1
 
0.9%
4625 1
 
0.9%
3489 1
 
0.9%
1405 1
 
0.9%
2746 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
1 1
0.9%
1140 1
0.9%
1405 1
0.9%
2112 1
0.9%
2746 1
0.9%
3413 1
0.9%
3489 1
0.9%
4625 1
0.9%
4839 1
0.9%
5860 1
0.9%
ValueCountFrequency (%)
51664 1
0.9%
49864 1
0.9%
48294 1
0.9%
44503 1
0.9%
43680 1
0.9%
42623 1
0.9%
41097 1
0.9%
39265 1
0.9%
38871 1
0.9%
38843 1
0.9%

España
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105878.57
Minimum1026
Maximum203534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:02.351974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1026
5-th percentile27465.95
Q182931.75
median106181.5
Q3129667.5
95-th percentile177658.1
Maximum203534
Range202508
Interquartile range (IQR)46735.75

Descriptive statistics

Standard deviation42158.413
Coefficient of variation (CV)0.398177
Kurtosis0.18234215
Mean105878.57
Median Absolute Deviation (MAD)23407
Skewness-0.18963163
Sum11434886
Variance1.7773318 × 109
MonotonicityNot monotonic
2024-02-11T17:28:02.845565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56831 1
 
0.9%
59076 1
 
0.9%
150110 1
 
0.9%
138405 1
 
0.9%
100023 1
 
0.9%
59278 1
 
0.9%
30175 1
 
0.9%
28231 1
 
0.9%
20531 1
 
0.9%
27054 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1026 1
0.9%
1835 1
0.9%
9504 1
0.9%
20531 1
0.9%
23151 1
0.9%
27054 1
0.9%
28231 1
0.9%
30175 1
0.9%
38057 1
0.9%
50325 1
0.9%
ValueCountFrequency (%)
203534 1
0.9%
200108 1
0.9%
186693 1
0.9%
185555 1
0.9%
179015 1
0.9%
178153 1
0.9%
176739 1
0.9%
175902 1
0.9%
170435 1
0.9%
162627 1
0.9%

Estados Unidos
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct48
Distinct (%)65.8%
Missing35
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean1352.2192
Minimum1
Maximum6135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:03.282080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median17
Q32398
95-th percentile5140.2
Maximum6135
Range6134
Interquartile range (IQR)2394

Descriptive statistics

Standard deviation1976.5937
Coefficient of variation (CV)1.4617406
Kurtosis-0.3434419
Mean1352.2192
Median Absolute Deviation (MAD)15
Skewness1.1104736
Sum98712
Variance3906922.6
MonotonicityNot monotonic
2024-02-11T17:28:03.730831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
3 7
 
6.5%
2 6
 
5.6%
4 4
 
3.7%
9 3
 
2.8%
5 3
 
2.8%
17 2
 
1.9%
1 2
 
1.9%
7 2
 
1.9%
12 2
 
1.9%
18 2
 
1.9%
Other values (38) 40
37.0%
(Missing) 35
32.4%
ValueCountFrequency (%)
1 2
 
1.9%
2 6
5.6%
3 7
6.5%
4 4
3.7%
5 3
2.8%
6 2
 
1.9%
7 2
 
1.9%
9 3
2.8%
10 1
 
0.9%
11 2
 
1.9%
ValueCountFrequency (%)
6135 1
0.9%
5878 1
0.9%
5656 1
0.9%
5361 1
0.9%
4993 1
0.9%
4767 1
0.9%
4592 1
0.9%
4557 1
0.9%
4545 1
0.9%
4521 1
0.9%

Finlandia
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11959.324
Minimum18
Maximum21619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:04.242090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile1239.1
Q18871.25
median12964.5
Q315780.75
95-th percentile19759.35
Maximum21619
Range21601
Interquartile range (IQR)6909.5

Descriptive statistics

Standard deviation5525.8137
Coefficient of variation (CV)0.46205067
Kurtosis-0.25272288
Mean11959.324
Median Absolute Deviation (MAD)3328.5
Skewness-0.60323448
Sum1291607
Variance30534617
MonotonicityNot monotonic
2024-02-11T17:28:04.674615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8133 1
 
0.9%
1447 1
 
0.9%
5322 1
 
0.9%
5595 1
 
0.9%
3888 1
 
0.9%
2041 1
 
0.9%
2452 1
 
0.9%
1445 1
 
0.9%
885 1
 
0.9%
1256 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
18 1
0.9%
21 1
0.9%
41 1
0.9%
856 1
0.9%
885 1
0.9%
1230 1
0.9%
1256 1
0.9%
1327 1
0.9%
1445 1
0.9%
1447 1
0.9%
ValueCountFrequency (%)
21619 1
0.9%
21599 1
0.9%
21352 1
0.9%
21061 1
0.9%
19946 1
0.9%
19766 1
0.9%
19747 1
0.9%
19665 1
0.9%
19397 1
0.9%
18655 1
0.9%

Francia
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40042.935
Minimum2
Maximum77462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:05.128515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4977.2
Q124267
median35647
Q357783.75
95-th percentile69219.2
Maximum77462
Range77460
Interquartile range (IQR)33516.75

Descriptive statistics

Standard deviation20640.94
Coefficient of variation (CV)0.51547022
Kurtosis-1.1697135
Mean40042.935
Median Absolute Deviation (MAD)17387.5
Skewness-0.058165678
Sum4324637
Variance4.2604842 × 108
MonotonicityNot monotonic
2024-02-11T17:28:05.593070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
1.9%
16819 1
 
0.9%
17655 1
 
0.9%
49882 1
 
0.9%
48140 1
 
0.9%
25853 1
 
0.9%
21307 1
 
0.9%
9658 1
 
0.9%
5687 1
 
0.9%
4227 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
2 2
1.9%
967 1
0.9%
3735 1
0.9%
4227 1
0.9%
4595 1
0.9%
5687 1
0.9%
8013 1
0.9%
9658 1
0.9%
13405 1
0.9%
16819 1
0.9%
ValueCountFrequency (%)
77462 1
0.9%
75797 1
0.9%
73823 1
0.9%
72743 1
0.9%
71678 1
0.9%
69866 1
0.9%
68018 1
0.9%
67442 1
0.9%
67008 1
0.9%
66540 1
0.9%

Irlanda
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct105
Distinct (%)99.1%
Missing2
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean28491.802
Minimum540
Maximum59525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:06.035053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum540
5-th percentile1801.5
Q114743.75
median26118.5
Q345087
95-th percentile55848.75
Maximum59525
Range58985
Interquartile range (IQR)30343.25

Descriptive statistics

Standard deviation17428.136
Coefficient of variation (CV)0.61168951
Kurtosis-1.3302104
Mean28491.802
Median Absolute Deviation (MAD)15598.5
Skewness0.076867404
Sum3020131
Variance3.0373993 × 108
MonotonicityNot monotonic
2024-02-11T17:28:06.446820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45087 2
 
1.9%
9897 1
 
0.9%
1539 1
 
0.9%
29313 1
 
0.9%
26076 1
 
0.9%
16464 1
 
0.9%
4539 1
 
0.9%
2112 1
 
0.9%
1217 1
 
0.9%
1149 1
 
0.9%
Other values (95) 95
88.0%
(Missing) 2
 
1.9%
ValueCountFrequency (%)
540 1
0.9%
744 1
0.9%
1149 1
0.9%
1217 1
0.9%
1539 1
0.9%
1698 1
0.9%
2112 1
0.9%
2708 1
0.9%
3434 1
0.9%
3634 1
0.9%
ValueCountFrequency (%)
59525 1
0.9%
58200 1
0.9%
57037 1
0.9%
56543 1
0.9%
56221 1
0.9%
56215 1
0.9%
54750 1
0.9%
52616 1
0.9%
52396 1
0.9%
52207 1
0.9%

Italia
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean24081.15
Minimum2
Maximum56029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:06.851716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile836.5
Q118250.5
median24178
Q331505.5
95-th percentile48141.5
Maximum56029
Range56027
Interquartile range (IQR)13255

Descriptive statistics

Standard deviation12413.007
Coefficient of variation (CV)0.51546571
Kurtosis0.15325146
Mean24081.15
Median Absolute Deviation (MAD)6626
Skewness0.0072720927
Sum2576683
Variance1.5408274 × 108
MonotonicityNot monotonic
2024-02-11T17:28:07.232608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10851 1
 
0.9%
4495 1
 
0.9%
23020 1
 
0.9%
16405 1
 
0.9%
9242 1
 
0.9%
1189 1
 
0.9%
958 1
 
0.9%
663 1
 
0.9%
560 1
 
0.9%
823 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
2 1
0.9%
364 1
0.9%
556 1
0.9%
560 1
0.9%
663 1
0.9%
823 1
0.9%
868 1
0.9%
958 1
0.9%
1180 1
0.9%
1189 1
0.9%
ValueCountFrequency (%)
56029 1
0.9%
52846 1
0.9%
50404 1
0.9%
49435 1
0.9%
49420 1
0.9%
49121 1
0.9%
45856 1
0.9%
40793 1
0.9%
39042 1
0.9%
38995 1
0.9%

Noruega
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct106
Distinct (%)100.0%
Missing2
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean17728.16
Minimum4
Maximum43522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:07.620872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile239.25
Q110779.5
median17699.5
Q325948.5
95-th percentile35784.5
Maximum43522
Range43518
Interquartile range (IQR)15169

Descriptive statistics

Standard deviation10465
Coefficient of variation (CV)0.5903038
Kurtosis-0.57196531
Mean17728.16
Median Absolute Deviation (MAD)7317.5
Skewness0.12731524
Sum1879185
Variance1.0951623 × 108
MonotonicityNot monotonic
2024-02-11T17:28:08.040762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7931 1
 
0.9%
863 1
 
0.9%
4328 1
 
0.9%
8564 1
 
0.9%
2595 1
 
0.9%
96 1
 
0.9%
274 1
 
0.9%
237 1
 
0.9%
246 1
 
0.9%
4 1
 
0.9%
Other values (96) 96
88.9%
(Missing) 2
 
1.9%
ValueCountFrequency (%)
4 1
0.9%
78 1
0.9%
96 1
0.9%
109 1
0.9%
230 1
0.9%
237 1
0.9%
246 1
0.9%
274 1
0.9%
863 1
0.9%
966 1
0.9%
ValueCountFrequency (%)
43522 1
0.9%
40905 1
0.9%
40336 1
0.9%
37750 1
0.9%
36582 1
0.9%
36243 1
0.9%
34409 1
0.9%
31006 1
0.9%
30447 1
0.9%
30251 1
0.9%

Países Bajos
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean39622.103
Minimum3
Maximum65788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:08.372813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6868.6
Q131062
median39018
Q354803.5
95-th percentile61570
Maximum65788
Range65785
Interquartile range (IQR)23741.5

Descriptive statistics

Standard deviation16802.357
Coefficient of variation (CV)0.42406524
Kurtosis-0.57096951
Mean39622.103
Median Absolute Deviation (MAD)13507
Skewness-0.47841937
Sum4239565
Variance2.8231919 × 108
MonotonicityNot monotonic
2024-02-11T17:28:08.750565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17400 1
 
0.9%
9048 1
 
0.9%
54851 1
 
0.9%
47464 1
 
0.9%
24850 1
 
0.9%
17543 1
 
0.9%
9461 1
 
0.9%
4193 1
 
0.9%
2775 1
 
0.9%
3436 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
3 1
0.9%
2775 1
0.9%
3436 1
0.9%
4193 1
0.9%
5700 1
0.9%
6526 1
0.9%
7668 1
0.9%
9048 1
0.9%
9461 1
0.9%
10966 1
0.9%
ValueCountFrequency (%)
65788 1
0.9%
64127 1
0.9%
63867 1
0.9%
63421 1
0.9%
62425 1
0.9%
61714 1
0.9%
61234 1
0.9%
60945 1
0.9%
60080 1
0.9%
59786 1
0.9%

Polonia
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean8578.7383
Minimum1
Maximum26862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:09.154626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile519.9
Q14063.5
median7860
Q312717.5
95-th percentile20404.7
Maximum26862
Range26861
Interquartile range (IQR)8654

Descriptive statistics

Standard deviation5725.4626
Coefficient of variation (CV)0.66740147
Kurtosis0.65157046
Mean8578.7383
Median Absolute Deviation (MAD)4131
Skewness0.81517871
Sum917925
Variance32780922
MonotonicityNot monotonic
2024-02-11T17:28:09.515809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2692 1
 
0.9%
73 1
 
0.9%
11491 1
 
0.9%
11811 1
 
0.9%
8607 1
 
0.9%
4506 1
 
0.9%
1620 1
 
0.9%
211 1
 
0.9%
24 1
 
0.9%
613 1
 
0.9%
Other values (97) 97
89.8%
ValueCountFrequency (%)
1 1
0.9%
8 1
0.9%
24 1
0.9%
73 1
0.9%
211 1
0.9%
480 1
0.9%
613 1
0.9%
963 1
0.9%
1429 1
0.9%
1620 1
0.9%
ValueCountFrequency (%)
26862 1
0.9%
26347 1
0.9%
20735 1
0.9%
20679 1
0.9%
20671 1
0.9%
20573 1
0.9%
20012 1
0.9%
18281 1
0.9%
16076 1
0.9%
15298 1
0.9%

Portugal
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4557.3611
Minimum0
Maximum15009
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:09.852056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile606.6
Q11998.25
median3811
Q36643.75
95-th percentile11847.55
Maximum15009
Range15009
Interquartile range (IQR)4645.5

Descriptive statistics

Standard deviation3299.6608
Coefficient of variation (CV)0.72402882
Kurtosis1.0402208
Mean4557.3611
Median Absolute Deviation (MAD)2115
Skewness1.0789016
Sum492195
Variance10887761
MonotonicityNot monotonic
2024-02-11T17:28:10.240930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1006 1
 
0.9%
2024 1
 
0.9%
4852 1
 
0.9%
4044 1
 
0.9%
2513 1
 
0.9%
695 1
 
0.9%
805 1
 
0.9%
371 1
 
0.9%
156 1
 
0.9%
559 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
0 1
0.9%
4 1
0.9%
6 1
0.9%
156 1
0.9%
371 1
0.9%
559 1
0.9%
695 1
0.9%
703 1
0.9%
731 1
0.9%
805 1
0.9%
ValueCountFrequency (%)
15009 1
0.9%
14036 1
0.9%
13685 1
0.9%
12598 1
0.9%
12578 1
0.9%
11857 1
0.9%
11830 1
0.9%
10093 1
0.9%
9613 1
0.9%
9067 1
0.9%

Reino Unido
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186117.21
Minimum4
Maximum365811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:10.622044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile3213
Q1111829.25
median166957
Q3284715
95-th percentile338398.2
Maximum365811
Range365807
Interquartile range (IQR)172885.75

Descriptive statistics

Standard deviation108643.21
Coefficient of variation (CV)0.58373542
Kurtosis-1.2418628
Mean186117.21
Median Absolute Deviation (MAD)97273.5
Skewness-0.10915955
Sum20100659
Variance1.1803347 × 1010
MonotonicityNot monotonic
2024-02-11T17:28:11.150827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88072 1
 
0.9%
32694 1
 
0.9%
118684 1
 
0.9%
68810 1
 
0.9%
28602 1
 
0.9%
8231 1
 
0.9%
3025 1
 
0.9%
1815 1
 
0.9%
722 1
 
0.9%
3291 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
4 1
0.9%
7 1
0.9%
722 1
0.9%
1815 1
0.9%
3025 1
0.9%
3171 1
0.9%
3291 1
0.9%
8174 1
0.9%
8231 1
0.9%
11987 1
0.9%
ValueCountFrequency (%)
365811 1
0.9%
362745 1
0.9%
344184 1
0.9%
343256 1
0.9%
341682 1
0.9%
340333 1
0.9%
334805 1
0.9%
333122 1
0.9%
332137 1
0.9%
330985 1
0.9%

Suecia
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23401.546
Minimum5
Maximum47499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:12.361859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile3233.85
Q117205.25
median22832.5
Q332510.5
95-th percentile39350.4
Maximum47499
Range47494
Interquartile range (IQR)15305.25

Descriptive statistics

Standard deviation10908.481
Coefficient of variation (CV)0.46614361
Kurtosis-0.36850282
Mean23401.546
Median Absolute Deviation (MAD)7717.5
Skewness-0.12398437
Sum2527367
Variance1.1899496 × 108
MonotonicityNot monotonic
2024-02-11T17:28:12.782054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10534 1
 
0.9%
9500 1
 
0.9%
20026 1
 
0.9%
28989 1
 
0.9%
17447 1
 
0.9%
8518 1
 
0.9%
6237 1
 
0.9%
4050 1
 
0.9%
1221 1
 
0.9%
2796 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
5 1
0.9%
182 1
0.9%
330 1
0.9%
1221 1
0.9%
2796 1
0.9%
2957 1
0.9%
3748 1
0.9%
4050 1
0.9%
6237 1
0.9%
8264 1
0.9%
ValueCountFrequency (%)
47499 1
0.9%
47337 1
0.9%
47011 1
0.9%
41536 1
0.9%
40065 1
0.9%
39440 1
0.9%
39184 1
0.9%
39097 1
0.9%
37148 1
0.9%
36831 1
0.9%

Otros
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59027.657
Minimum9
Maximum135972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:13.173884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile16166.75
Q135328
median57157
Q381075.25
95-th percentile107634.15
Maximum135972
Range135963
Interquartile range (IQR)45747.25

Descriptive statistics

Standard deviation30380.674
Coefficient of variation (CV)0.51468541
Kurtosis-0.42921264
Mean59027.657
Median Absolute Deviation (MAD)22830.5
Skewness0.29755347
Sum6374987
Variance9.2298536 × 108
MonotonicityNot monotonic
2024-02-11T17:28:13.580927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23570 1
 
0.9%
15773 1
 
0.9%
94442 1
 
0.9%
75928 1
 
0.9%
41170 1
 
0.9%
25338 1
 
0.9%
18361 1
 
0.9%
23494 1
 
0.9%
13765 1
 
0.9%
17944 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
9 1
0.9%
150 1
0.9%
2385 1
0.9%
11797 1
0.9%
13765 1
0.9%
15773 1
0.9%
16898 1
0.9%
16991 1
0.9%
17944 1
0.9%
18361 1
0.9%
ValueCountFrequency (%)
135972 1
0.9%
132975 1
0.9%
126221 1
0.9%
119392 1
0.9%
108832 1
0.9%
107715 1
0.9%
107484 1
0.9%
106771 1
0.9%
106048 1
0.9%
105047 1
0.9%

Total
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean660568.62
Minimum1128
Maximum1238182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-02-11T17:28:14.020822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1128
5-th percentile78938.2
Q1446222
median676310
Q3931183.5
95-th percentile1094880.2
Maximum1238182
Range1237054
Interquartile range (IQR)484961.5

Descriptive statistics

Standard deviation314749.63
Coefficient of variation (CV)0.47648286
Kurtosis-0.8139948
Mean660568.62
Median Absolute Deviation (MAD)244180
Skewness-0.3081962
Sum71341411
Variance9.9067327 × 1010
MonotonicityNot monotonic
2024-02-11T17:28:14.468322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309870 1
 
0.9%
177488 1
 
0.9%
668956 1
 
0.9%
598090 1
 
0.9%
337306 1
 
0.9%
193335 1
 
0.9%
105527 1
 
0.9%
87513 1
 
0.9%
52023 1
 
0.9%
74321 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1128 1
0.9%
2382 1
0.9%
28834 1
0.9%
52023 1
0.9%
71021 1
0.9%
74321 1
0.9%
87513 1
0.9%
105527 1
0.9%
111516 1
0.9%
165492 1
0.9%
ValueCountFrequency (%)
1238182 1
0.9%
1165429 1
0.9%
1140187 1
0.9%
1138411 1
0.9%
1120279 1
0.9%
1097542 1
0.9%
1089937 1
0.9%
1085291 1
0.9%
1073596 1
0.9%
1056632 1
0.9%

Interactions

2024-02-11T17:27:51.310195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:19.285624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:23.889894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:28.582607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:34.654562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:39.650527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:44.494797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:50.167552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:56.936068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:01.982467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:07.345543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:12.430790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:17.043217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:21.722305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:27.043347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:31.836869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:36.885079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:41.539857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:46.142623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:51.573024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:19.499917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:24.094837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:28.864253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:35.045622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:39.892718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:44.760973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:52.373712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:57.180632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:02.222537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:07.602130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:12.641047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:17.293088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:21.939473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:27.291810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:32.087595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:37.116343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:41.752383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-02-11T17:27:00.128481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:05.153031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:10.316391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:15.262400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:20.041756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:25.202017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:30.002900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:35.231811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:39.853719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:44.051980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:49.242225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:54.744708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:22.328776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:27.102442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:32.576255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:38.083865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:42.958930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:48.381625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:55.456139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:00.413606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:05.384686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:10.645250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:15.508844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:20.317242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:25.505127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:30.298464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:35.471889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:40.091818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:44.269823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:49.559245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:55.010187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:22.554706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:27.347335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:32.849999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:38.362228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:43.198324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:48.662379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:55.692022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:00.641737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:05.619351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:10.983385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:15.741832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:20.557776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:25.760791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:30.550964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:35.691876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:40.334426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:45.020749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:49.880977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:55.311120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:22.884628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:27.584078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:33.205423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:38.622067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:43.445119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:48.955129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:55.923796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:00.932596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:05.875976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:11.331636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:16.021809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:20.830922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:26.015094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:30.810984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:35.940664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:40.573431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:45.273083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:50.139801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:55.750737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:23.142653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:27.834562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:33.620677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:38.882104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:43.702405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:49.289038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:56.172417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:01.230605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:06.150538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:11.643162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:16.271625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:21.055008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:26.281624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:31.069877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:36.174680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:40.819758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:45.509931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:50.439381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:56.111336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:23.382478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:28.080183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:33.995970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:39.143839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:43.912302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:49.561794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:56.416804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:01.472054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:06.750966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:11.901716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:16.499995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:21.231814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:26.512175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:31.276149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:36.401486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:41.001740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:45.705951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:50.690920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:56.444780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:23.647661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:28.346419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:34.349688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:39.371943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:44.200758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:49.870950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:26:56.669851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:01.738259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:07.046530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:12.174016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:16.756446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:21.470729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:26.773813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:31.549972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:36.661870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:41.266245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:45.921882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-11T17:27:51.030732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-02-11T17:28:14.792737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
AlemaniaAustriaBélgicaDinamarcaEspañaEstados UnidosFinlandiaFranciaIrlandaItaliaMesNoruegaOtrosPaíses BajosPoloniaPortugalReino UnidoSueciaTotal
Alemania1.0000.6120.9020.8940.6940.6810.8080.9320.9190.8290.2040.8870.8180.8680.8010.4270.9380.9010.946
Austria0.6121.0000.7030.6780.9130.1060.6490.7020.7320.8220.2110.5750.8730.7840.7470.8130.5700.7700.759
Bélgica0.9020.7031.0000.9130.7920.5700.7630.9310.9030.8360.2360.8550.8880.9160.8030.5300.8720.9170.933
Dinamarca0.8940.6780.9131.0000.7830.5960.7920.8790.9090.8280.1320.8870.8840.9210.8260.5470.8470.9370.927
España0.6940.9130.7920.7831.0000.3520.6810.8050.8000.8940.2480.6290.9530.8600.8670.8410.6640.8300.846
Estados Unidos0.6810.1060.5700.5960.3521.0000.3640.7230.6630.4800.3000.6330.5060.5390.634-0.0040.7910.4800.689
Finlandia0.8080.6490.7630.7920.6810.3641.0000.7660.8040.7720.1550.8130.7330.7310.6880.5670.7810.8670.815
Francia0.9320.7020.9310.8790.8050.7230.7661.0000.9440.8710.2080.8510.8920.8840.8780.5080.9280.8730.969
Irlanda0.9190.7320.9030.9090.8000.6630.8040.9441.0000.8990.1390.9180.9000.8990.8680.5420.9290.9060.982
Italia0.8290.8220.8360.8280.8940.4800.7720.8710.8991.0000.2030.7820.9130.8820.8800.7230.8300.8820.930
Mes0.2040.2110.2360.1320.2480.3000.1550.2080.1390.2031.0000.0950.2390.1870.1780.1670.1550.2250.196
Noruega0.8870.5750.8550.8870.6290.6330.8130.8510.9180.7820.0951.0000.7550.7890.7270.3760.8980.8630.894
Otros0.8180.8730.8880.8840.9530.5060.7330.8920.9000.9130.2390.7551.0000.9360.9070.7430.7820.8950.933
Países Bajos0.8680.7840.9160.9210.8600.5390.7310.8840.8990.8820.1870.7890.9361.0000.8570.6440.8080.9200.928
Polonia0.8010.7470.8030.8260.8670.6340.6880.8780.8680.8800.1780.7270.9070.8571.0000.5830.7900.8130.899
Portugal0.4270.8130.5300.5470.841-0.0040.5670.5080.5420.7230.1670.3760.7430.6440.5831.0000.3860.6470.588
Reino Unido0.9380.5700.8720.8470.6640.7910.7810.9280.9290.8300.1550.8980.7820.8080.7900.3861.0000.8350.939
Suecia0.9010.7700.9170.9370.8300.4800.8670.8730.9060.8820.2250.8630.8950.9200.8130.6470.8351.0000.932
Total0.9460.7590.9330.9270.8460.6890.8150.9690.9820.9300.1960.8940.9330.9280.8990.5880.9390.9321.000

Missing values

2024-02-11T17:27:56.854811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-11T17:27:57.578206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-02-11T17:27:58.102563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

MesAlemaniaAustriaBélgicaDinamarcaEspañaEstados UnidosFinlandiaFranciaIrlandaItaliaNoruegaPaíses BajosPoloniaPortugalReino UnidoSueciaOtrosTotal
Año
20151260641157.01559513318.056831NaN8133168199897.010851.07931.017400.02692.01006880721053423570309870
20152305441802.01694314931.059136NaN79352028510583.011368.010342.020896.02693.01094986211178524076343034
20153456473577.02092220024.077692NaN108332507416128.014253.015029.025923.03402.017681370611507132629465033
20154635273324.03001420976.0868181.0131054422027338.021933.020079.031600.05707.013462144742074444785649991
20155698864526.03025221838.0823699.0125925197136488.023810.022520.036767.06054.014712614492014548274730421
20156605344190.02887323572.0888662815.0143774735645087.022489.029115.033629.09798.017852598222210053373747781
20157715325462.03603732279.01107404120.0161736020145087.027244.040336.037504.09331.022062858072858764818877464
20158714985250.03308219914.01217184364.0127025918135107.029103.020368.033639.010448.021622934761863662236832884
20159689935093.03126322727.0986442398.0139105179435938.023635.026287.035302.08720.019212589312002256873762451
201510696263396.03092822355.083089NaN153094615528914.018226.024026.033428.06301.016242287972405147183683408
MesAlemaniaAustriaBélgicaDinamarcaEspañaEstados UnidosFinlandiaFranciaIrlandaItaliaNoruegaPaíses BajosPoloniaPortugalReino UnidoSueciaOtrosTotal
Año
20233439029046.02653230376.0162627NaN153523520028906.032783.016366.051696.013506.090671745082751181496758874
202347405812041.03944935984.01704357.0186556271548798.049420.022973.064127.015050.011830254659366341050471021882
202358401012455.03580934900.017815328.0158466744256221.049435.023752.063421.018281.011857281231339841067711073596
202368590811601.03492235886.01866932040.0165646403856543.045856.026203.059764.020012.012598285646368311088321089937
202379577214148.04489648294.02035342085.0163397746259525.052846.034409.062425.020679.014036311420473371329751238182
202389066613212.03727036153.02001082390.0125397382354750.056029.021373.057450.020671.015009303526344881359721165429
202399449113436.04051938871.01855551973.0174956618156215.050404.027447.061714.020573.013685285342400651262211140187
2023108860713528.04120039265.01790156.0193976497849379.049121.026658.063867.020735.012578258125394401193921085291
202311474279716.02652823542.01403014.0145573098924135.034315.011685.044794.026347.076941374882630879009684839
2023125285412195.03015624760.015605623.0141604136626161.040793.012845.047092.026862.085781549672633188974764173